Senior Quant Analyst, Quantitative Developer
Core
Design, develop, and maintain quantitative data processing pipelines to support research, analytics, and production environments for large-scale financial datasets.
Role type
Senior quantitative developer (data infrastructure)
Builds
Production-ready data workflows and pipelines for quant models
Domain
Financial markets infrastructure / Quantitative data engineering
Deliverable
production ML models
Required skills
Python, data wrangling, distributed computation, cloud platforms (AWS/Azure), CI/CD, algorithm design
Preferred skills
PySpark, ETL technologies, ML/AI applications, Linux, finance/fixed income domain knowledge
Technologies
Python, AWS, Azure, S3, Lambda, EC2, Databricks, Azure Data Factory, Snowflake
Responsibilities
Design and maintain quantitative data processing pipelines; Build and optimize data workflows for large-scale financial datasets; Collaborate with quantitative analysts and data scientists to translate modeling requirements; Implement best practices for code versioning, testing, and CI/CD; Monitor and troubleshoot pipeline performance; Continuously acquire new technical skills in modern data frameworks and cloud tools.
Seniority
Senior, hands-on IC with coordination responsibilities
